Influence of predictive modeling in implementing optimal heart failure therapy

Sendil Prasad, Jaspinder Sra, Wayne C. Levy, Dwight D. Stapleton

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

INTRODUCTION: A gap remains between evidence-based guidelines in the treatment of heart failure (HF) and current pharmacologic and device therapy. The Seattle Heart Failure Model (SHFM) is an accurate predictive tool that allows the clinician to quantitatively assess the influence of pharmacologic and device therapy on HF. The authors hypothesized that graphically demonstrating the improvement in survival using such a tool may well modify physician practice behavior. METHODS:: The authors examined 50 randomly selected patients from 10 primary care physicians having HF with a left ventricular ejection fraction

Original languageEnglish (US)
Pages (from-to)185-190
Number of pages6
JournalAmerican Journal of the Medical Sciences
Volume341
Issue number3
DOIs
StatePublished - Mar 2011
Externally publishedYes

Fingerprint

Heart Failure
Equipment and Supplies
Primary Care Physicians
Therapeutics
Treatment Failure
Stroke Volume
Guidelines
Physicians
Survival

Keywords

  • Chronic
  • Heart failure
  • Heart failure outcomes
  • Predictors of mortality
  • Risk prediction

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Influence of predictive modeling in implementing optimal heart failure therapy. / Prasad, Sendil; Sra, Jaspinder; Levy, Wayne C.; Stapleton, Dwight D.

In: American Journal of the Medical Sciences, Vol. 341, No. 3, 03.2011, p. 185-190.

Research output: Contribution to journalArticle

Prasad, Sendil ; Sra, Jaspinder ; Levy, Wayne C. ; Stapleton, Dwight D. / Influence of predictive modeling in implementing optimal heart failure therapy. In: American Journal of the Medical Sciences. 2011 ; Vol. 341, No. 3. pp. 185-190.
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